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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

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Related Experiment Video

Updated: Jul 2, 2026

Correlating Behavioral Responses to fMRI Signals from Human Prefrontal Cortex: Examining Cognitive Processes Using Task Analysis

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Published on: June 20, 2012

Distinct Cerebellar Responses for Flexing, Extending and Stroking Tasks Using 7 T fMRI.

Emma J P Brouwer^1,2, Nikos Priovoulos^3,4,5, Wietske van der Zwaag^3,4

¹Spinoza Centre for Neuroimaging, KNAW, Amsterdam, The Netherlands. brouwer@herseninstituut.knaw.nl.

Brain Topography

|October 14, 2025

Summary

The cerebellum shows distinct activation patterns for different hand movements like flexing, extending, and stroking digits. These findings reveal fine-scale sensorimotor organization within the cerebellum, crucial for understanding motor control.

Keywords:

Cerebellar Surfaces High-field fMRI Human Cerebellum Sensorimotor integration Somatotopy

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Area of Science:

Neuroscience
Motor Control
Functional MRI

Background:

The cerebellum is vital for fine motor skills, but its in-vivo organization for specific tasks is poorly understood.
Existing methods struggle to capture cerebellar activation due to its complex structure.

Purpose of the Study:

To investigate cerebellar functional responses during distinct digit motor tasks (flexing, extending, stroking).
To explore the sub-millimeter scale sensorimotor organization within the human cerebellum.

Main Methods:

Utilized B1-shimmed 7 Tesla functional MRI (fMRI) for high-resolution imaging.
Analyzed cerebellar data in both standard 3D and surface spaces to account for cortical folding.

Main Results:

All tasks elicited digit-specific cerebellar responses.
Digit extension showed larger, more bilateral activation than flexing or stroking.
Stroking responses were localized medially in the anterior lobe, distinct from other tasks.

Conclusions:

Cerebellar engagement varies significantly based on the sensory and motor components of tasks.
These functional differences occur at a fine (sub-millimeter) scale, similar to the cerebral cortex.